# High-Accuracy ViT

A binary classification model using fine-tuned Vision Transformer (ViT) to detect deepfake images

An image classification model fine-tuned based on google/vit-base-patch16-224, achieving an accuracy of 82.5% on the evaluation set

An image classification model based on the ViT architecture, designed to identify whether an image contains text and the type of text (Latin, Chinese, Arabic)

An image classification model based on Google's Vision Transformer (ViT) architecture, fine-tuned on the food101 dataset for food image classification tasks

An image classification model fine-tuned on the sudo-s/herbier_mesuem1 dataset based on google/vit-base-patch16-224-in21k, achieving 91.29% accuracy